Automated Hybrid Algorithms for MRI Image Processing (Registration, Tumor Detection & Classification, Segmentation)

Authors

  • Ruchi Kumari Garg M.Tech Computer Science Department, Rajasthan College of Engineering for Women, Jaipur
  • Mr. Subhash Chandra Assistant Professor Computer Science Department, Rajasthan College of Engineering for Women, Jaipur

Keywords:

Tumor, Magnetic Resonance Imaging, Fuzzy logic, Tumor detection, Artificial Intelligence.

Abstract

MRI (Magnetic Resonance Imaging) is on indispensible diagnostics tool in medical science, especially in the diagnostics of diseases & ailments of human brain. MRI is unsophisticated medical imaging technique used to produce high quality image slices of human brain, which when combined form a 3-D picture of the brain. MRI imaging is widely used for diagnostics & detection of brain tumor due to its high resolution & capability to show brain structure, tumor’s size location. The author has proposed hybrid algorithms employing image processing techniques on MRI image for tumor detection & classification. Coefficient in top, down & left, right (horizontal) traversal of image is complete to localize the tumor maximum & fuzzy logic identifies the part of brain affected & generates a list of symptoms & prognosis.

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Published

2019-08-01

How to Cite

Garg, R. K. ., & Chandra, M. S. (2019). Automated Hybrid Algorithms for MRI Image Processing (Registration, Tumor Detection & Classification, Segmentation). International Journal of Technical Innovation in Modern Engineering & Science, 5(8), 134–143. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/408

Issue

Vol. 5 No. 8 (2019): Vol. 5 No. 8: Volume 5 Issue 8 (August-2019)

Section

Articles